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Mid-level popular ML role with broad skill requirements increases candidate competition.
Core ML engineering skills transfer across industries, but Databricks and full-stack requirements moderately restrict fit.
Explicit 3+ years and multiple must-have technical skills (Python, PyTorch, Databricks, ReactJS) enforce strict filters.
Design, develop, and implement machine learning models focused on predictive analytics and deep learning to solve complex business problems.
Collaborate with cross-functional teams to integrate AI/ML solutions into production systems using Python, Databricks, PyTorch, and ReactJS.
Preprocess large datasets and optimize ML models for performance, scalability, and accuracy, while developing front-end interfaces for AI-driven applications.
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field.
3+ years experience as an ML developer or AI/ML engineering role.
Strong proficiency in Python, PyTorch, Databricks, and ReactJS mandatory.
Work Experience Required: 3+ years in machine learning development or related AI/ML engineering role.
Experienced in building and deploying end-to-end AI/ML solutions involving predictive analytics and deep learning models.
Operates well within cross-functional teams including data scientists, software engineers, and product/product managers in fast-paced environments.
Hands-on with data preprocessing, model optimization, and delivering seamless user interfaces for AI applications.